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http://dx.doi.org/10.5573/ieie.2014.51.7.201

Landmine Detection System using a Target-adaptive Window Selection Method  

Kim, Min Ju (Dept. of Electrical Engineering, KAIST)
Kim, Seong-Dae (Dept. of Electrical Engineering, KAIST)
Paeng, Kyunghyun (Dept. of Electrical Engineering, KAIST)
Hahm, Jong-Hun (Dept. of Electrical Engineering, KAIST)
Han, Seung-Hoon (Samsung Thales)
Lee, Seung-Eui (Samsung Thales)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.7, 2014 , pp. 201-208 More about this Journal
Abstract
The performance of a landmine detection system depends on consistent extractions of the features of landmines. Since landmines have diverse sizes, it is critical to select an appropriate window size to represent the landmine region consistently. Conventional detection systems are incapable of extracting consistent landmine features because they employ fixed window sizes. This paper proposes a window size selection method according to the size of a landmine. The proposed method selects an appropriate window size based on the type of a landmine estimated from the response signal of the system. Data on various types of soils and landmines were generated from a simulation program to evaluate the performance of the proposed method. The results verified that the proposed method, which employs an adaptive window size, yields a better landmine detection rate than the conventional methods, which employ fixed window sizes.
Keywords
Ground Penetrating Radar; Histogram of Oriented Gradients; Landmine Detection System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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